4results about How to "Simplify the review process" patented technology

The invention provides an intelligent electric power financial bill management device, and aims to solve the problems of low recognition accuracy, low processing speed, tedious auditing process and the like when an existing electric power financial bill management system processes bills. The device comprises an electronic bill uploading module, a preprocessing module, an information extraction module, an auditing module, a classification and filing module, a multi-dimensional query module and a statistics and analysis module. Through an automatic and intelligent mode, comprehensive, rapid and accurate processing of electronic bills is realized, functions of bill uploading, preprocessing, key information extraction, auditing verification, classification filing, multi-dimensional query, statistical analysis and the like are included, and efficient and convenient financial management services are provided for power enterprises.

The invention discloses a target code generation method based on a template engine. The method comprises the following steps: presetting a template file corresponding to an item; loading a template file through a template engine, wherein the template file is generated according to the repetitive code of the project; combining the data model corresponding to the project with the template file to generate a target code; the template file comprises a mark used for indicating the template engine to insert dynamic data in the repetitive code, and the data model comprises the dynamic data required by the template file. Through the preset template file, the workload of repeatedly writing codes is reduced, and the development efficiency is improved.

The present invention provides a method, device, electronic device and readable storage medium for reviewing annotated data, and relates to the field of data processing technology. The method comprises: determining the sampling ratio and the batch information of the target data set associated with the project to be reviewed according to the project configuration information of the project to be reviewed; determining the first sampling file data in the first batch according to the sampling ratio, and reviewing the first sampling file data; and determining whether to conduct a second batch review when the first sampling file data has been reviewed. The solution of the present invention solves the problem that batch data belonging to the same data set cannot be continuously viewed during the review of annotated data.

This invention relates to the field of business process risk management technology, specifically to an artificial intelligence-based business process risk management system and method. It includes a node segmentation module, a region segmentation module, a model building module, a threshold optimization module, and a risk assessment module. The node segmentation module acquires process data from all of an enterprise's business operations, segments the process data into process nodes, and extracts the risk materials, normal materials, and applicants corresponding to each process node. Through a multi-module collaborative closed-loop design, it effectively solves many shortcomings of existing technologies. Firstly, it significantly improves the accuracy of risk identification. Secondly, by adapting node-specific semantic models and combining the review attributes of process nodes to extract semantic features in a customized manner, it avoids the semantic generalization problem of general models.